Search for a command to run...
Articles tagged with #industrial-iot
1. Introduction: Why Intelligence Alone Is Not Enough Advanced analytics and predictive models often dominate discussions around industrial digitalization. However, in real factory environments, intelligence without reliability introduces operational...
1. Background: From Fragmented Logs to Causal Insights After architecting the core data pipeline—aggregating cycles, downtime, operator sessions, and shift KPIs (as covered in Blog 13)—we faced a challenge familiar to anyone working in industrial IoT...
After building machine-level analytics in Blog #12, I hit the next major problem developers face in industrial systems: Machine data is granular. Factory decisions are not.Production managers don’t want 400 spindle events — they want answers for Shi...
How I transformed raw CNC machine events into utilization metrics, downtime insights, performance dashboards, and predictive indicators. Introduction — When Clean Data Isn’t Enough Anymore After fixing signal noise, stabilizing PLC inputs, and build...
One of the biggest goals in my CNC automation project was not just capturing machine data, but interpreting it into meaningful performance metrics. OEE (Overall Equipment Effectiveness) became the natural next step. This blog explains how I built a c...
